Total 224 senior manager job vacancies in Education / Training category

Key Responsibilities

Training Management

• Leads the training department with clear direction, inspires trainer performance, and drives collective accountability for learner outcomes.

• Builds productive relationships with clients, regulatory bodies, and internal teams; responds professionally to stakeholder needs and expectations

• Uses data and performance metrics to evaluate training effectiveness, identify gaps, and continuously improve programme quality.

• Conduct trainer briefings, “train-the-trainer” sessions, and onboarding for newly assigned trainers.

• Conduct trainer observations to obtain feedback for improvement

• Allocate classrooms and deploy trainers based on intake sizes and subject expertise.

• Financial management, e.g. Submission of training hours to payroll department

• Demonstrates working knowledge of SSG, WSQ, SPF, SCDF, SFA and other frameworks to ensure full compliance in training delivery and documentation.

Facilities & Assessment Management

• Coordinate with assessors and manage assessment schedules.

• Prepare assessment props, rooms, and learner familiarisation sessions in line with SOPs.

• Ensure proper functioning of equipment (HHMD, Walk‑Through Metal Detectors, X‑ray machines, traffic wands).

• Oversee setup for specialized assessments such as XRay and CSSPB.

• Manage attendance tracking, QR code verification, and assessor processes.

• Provide learner care support for those assessed as Not Yet Competent (NYC), including reassessment arrangements.

• Compile weekly assessment results and attendance records for submission.

• Ensure classrooms & assessment rooms are properly equipped, clean, and conducive for training.

Post‑Assessment & In‑House Assessments

• Document assessment outcomes and maintain NYC records.

• Safekeep and replenish props, files, and assessment materials.

• Prepare and conduct in‑house assessments including assessment booklets, case studies, and SOA certificates.

• Ensure compliance with SSG reporting and audit requirements.

Training Materials & Equipment Management

• Maintain and perform regular updates for facilitator and learner guides, worksheets, and presentation slides.

• Conduct class audits to ensure trainers use updated materials.

• Manage training props, files, and specialised equipment (SIMFOX laptops, tablets, handphones).

• Troubleshoot technical issues during lessons and assessments.

Requirements

• Diploma or bachelor's degree in training, education, or related field. 

• TAEPP registered. ACTA/ACLP compulsory. DACE/DDDLP will be an advantage.

• Minimum 5 years of experience in training operations, assessment management, or programme compliance.

• Advanced knowledge of Microsoft Office (Excel, Word and PowerPoint)

• Strong leadership and organisational skills with attention to detail.

• Comfortable using LMS & TMS platforms, TPGateway, and learning technology tools to improve training delivery, administration, and reporting.

• Familiarity with POLWEL requirements is an advantage.

• Excellent communication and problem‑solving abilities.

Why Join Us?

• Play a pivotal role in shaping training excellence and compliance standards.

• Lead operational improvements and support both trainers and learners.

• Be part of a leading training organisation committed to workforce development in Singapore.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #5 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the college aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

• The appointee is expected to contribute to, support and develop teaching and educational activity at both undergraduate and graduate level.

• The appointee is also expected to participate in academic activities and meet other administrative requirements as appropriate.

Responsibilities:

• Design and deliver high quality courses in FinTech that include both undergraduate and postgraduate levels. Contribute to curriculum development and enhancement to ensure students receive world class teaching education

• Provide academic guidance and mentorship to students, fostering their intellectual and professional growth.

• Contribute to the School and university’s service activities, including committee participation, outreach and engagement with industry partners

• Facilitates and conducts all teaching assignments, both face-to-face and virtual delivery

• Oversee and complete core course administrative tasks or duties such as course evaluation, online course materials, attendance records, academic counselling on student progress

• Conducts assessments, marking and grade entries, feedback to students, student consultations, non-academic matters (e.g., invigilation) etc.

• Develops and updates course materials and learning resources for course delivery and support students' learning

• Provides regular course and student progress statistics for reporting, improvement of students’ learning and strategic decision making

• Demonstrates values and principles of professional conduct in all endeavours

• Conduct impactful research in areas related to FinTech and collaborate with colleagues within the department and across the University

• Any other assigned duties

Requirements:

• Applicants should preferably have industry and/or academic experience, a passion for teaching and preferably a Master's degree or PhD in related field.

• Candidates should demonstrate teaching/mentoring excellence and be able to engage in curriculum development and work closely with students for undergraduate courses

Personal Attributes

Student Focus

• Demonstrates an apparent empathy with students and understands their needs, and is an active listener

• Motivated and enthused to maximise individual student potential

• Proactive with the ability to react positively to unexpected circumstances

• Passionate in educating and mentoring students to guide them in their learning and growth

Teamwork

• Maintains the confidence and mutual respect of colleagues at all levels

• Understands and works towards team objectives

• Shares useful ideas and practices to improve the team’s overall morale and performance

• Initiates and implements improvements to work processes and practices within their responsibility

Credibility and Communication

• Speaks and writes clearly and persuasively when interacting with internal and external stakeholders

• Displays excellent listening and questioning skills

• Projects an appropriate professional image

Organisation

• Able to plan workload but remain flexible

• Meets deadlines and displays strong administrative and organisational skills

• Demonstrates a capability to balance competing demands

• Meticulous with strong organisational and academic, administrative skills

• Strong initiative, self-motivated, and focused on achieving quality outputs

Key Responsibilities

• Develop data-driven energy disaggregation models to estimate machine-, process-, and batch-level energy consumption from aggregated or limited metering data.
• Design and implement energy monitoring, analytics and benchmarking algorithms for energy performance tracking, anomaly detection, and causal analytics related to energy-saving of industrial equipment and manufacturing processes.
• Conduct experiments, model validation, and performance evaluation using industrial datasets.
• Work closely with project partners, engineers, and researchers to translate research outcomes into deployable industrial solutions.

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Data Science, Industrial Engineering, or a related field.
• Strong programming skills in Python, with experience in data analytics, machine learning, and time-series processing.
• Knowledge of energy systems, power consumption analysis, industrial equipment, or manufacturing processes.
• Experience with machine learning techniques for regression, classification, anomaly detection, forecasting, or signal disaggregation.
• Ability to process and analyze large-scale time-series datasets.
• Good problem-solving skills and ability to work independently in applied research and development projects.
• Good written and verbal communication skills.

Preferred Qualifications

• Experience in non-intrusive load monitoring, energy disaggregation, virtual sensing, or industrial energy analytics.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with causal analytics.
• Knowledge of manufacturing systems, additive manufacturing, CNC, heat treatment, pumps, compressors, motors, or other industrial equipment.
• Prior experience in applied R&D projects with industry partners is an advantage.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Company Overview / Employee Value Proposition

Caudalie is a unique story of love, nature, passion, chance encounters and a sense of adventure! Founded in 1995 by Mathilde and Bertrand Thomas, Caudalie has grown into a leading French natural skincare brand known for its patented grape‑derived active ingredients. Headquartered in Paris and employing between 1,500 people worldwide, the company is committed to creating effective, clean, and sustainable skincare while maintaining strong environmental values, including being a proud “1% for the Planet” member since 2012. We are expanding our teams in our Singapore regional office, join us!

Job Summary

Caudalie is seeking a Regional Education Manager to drive sell-out, educate and elevate our partners in Southern Asia & Pacific. This role drives education and sales techniques with key retailers, and best-in-class in-store events, requiring frequent regional business travel.

Responsibilities

• Educateour partners on Caudalie DNA, values & unique sales techniques;
• Leadthe training schedule for all our partners and organize off & on linetrainings
• Strengthenour partnership, becoming a top of mind and best in class education partner.
• Drivesell-out performance by creating market tailored training methods and toolsadapted to local realities.
• Enhancebrand awareness and credibility through impactful presentations, masterclasses,and elevated training experiences.

Required competencies and certifications

• Fluent in English, and proficient in Chinese
• Strong education and training skills
• Proficient in MS Excel, Word, and PowerPoint for data analysis and reporting
• Comfortable with frequent business travel across APAC to maintain field presence and stakeholder engagement

Preferred competencies and qualifications

• Diploma or Bachelor's Degree in Business, Marketing, or related field
• 2–3 years of retail management experience, preferably within the beauty industry
• Excellent presentation and communication skills to influence and engage diverse stakeholders

The Centre of Excellence in Maritime Safety (CEMS) is a national R&D centre, a collaborative effort between Singapore Polytechnic and the Singapore Maritime Institute. We focus on developing innovative digital solutions and training systems to enhance maritime safety. Our state-of-the-art research facilities, including South-east Asia's first navigation research simulator, setting us as an innovation champion.

About the Role

The appointee will be part of the CEMS AI & Software team in developing digital solutions to enhance simulator training and assessment, innovate in training pedagogy for the maritime industry. The role may also involve contributing to department- and school-level software initiatives that support digitalisation and automation across R&D, operations, and education.

Responsibilities:

• Lead projects and provide technical contributions across the full software development lifecycle (SDLC), including requirements gathering with industry partners and internal stakeholders.

• Work closely with the AI team at CEMS to deploy and integrate AI solutions—such as Natural Language Processing, computer vision, and data analytics —into simulation platforms to enhance training and assessment capabilities.

• Collaborate with third-party simulator technology and solution providers to design and develop reusable code libraries and scalable APIs for integration and interoperability.

• Drive improvements to existing software systems by identifying performance bottlenecks, refactoring codebases, and enhancing maintainability and scalability.

• Contribute to the conceptualization, proposal development, and implementation of new research and development projects aligned with CEMS’s strategic objectives.

• Guide junior software engineers and student interns in software development best practices, code quality, and project execution.

• Prepare and deliver regular project updates and technical presentations for CEMS Governing Board and senior management meetings.
  

  Requirements:

  • Relevant qualifications in Computer Science, Computer Engineering, or a related field.

  • Relevant experience in the following areas: Production-grade software development, Backend and/or frontend application development, RESTful API design and implementation using modern frameworks (e.g., ASP.NET Core, Spring Boot, Django, Express.js)

  • Strong programming skills in one or more modern languages (e.g., C#, C++, Java, Python), with the ability to quickly learn new technologies and frameworks.

  • Experience working with relational and non-relational databases (e.g., MySQL, Oracle, MongoDB).

  • Good understanding of object-oriented design, software design patterns, and CI/CD practices.

  • Familiarity with version control systems (e.g., Git, GitLab).

  • Hands-on experience with containerization tools such as Docker.

  • Ability to build quick prototypes, tools, or scripts to support development or testing.

  • Strong interpersonal, verbal, and written communication skills; effective in collaborative and fast-paced environments.

  • Experience with end-to-end AI solution implementation using frameworks such as TensorFlow or PyTorch is a plus.

About the Job

The Singapore University of Technology and Design (SUTD) is seeking a highly motivated and skilled Research Assistant to support a research project focused on leveraging multimodal Large Language Models (LLMs) to enhance user intention understanding and decision-making process, particularly in the area of recommender systems. The successful candidate will work closely with faculty and researchers to design, implement, and evaluate novel methods that integrate LLMs for more intelligent user understanding and decision-making systems. This position offers a unique opportunity to contribute to cutting-edge AI research with real-world impact.

What You'll Do

• Conduct research on applying LLMs to improve the user intent understanding and decision-making process.
• Develop and implement experimental prototypes and evaluate model performance.
• Conduct literature reviews and contribute to the writing of research papers and reports.
• Collaborate with team members and participate in regular research discussions.

Who We're Looking For

• A Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven research experience, particularly in user modeling, personalization and decision-making process and recommender systems.
• Strong programming skills (e.g., Python, PyTorch, TensorFlow).
• Excellent written English communication skills.
• Self-motivated, independent, and passionate about research.
• Familiarity with prompt engineering, fine-tuning LLMs, or knowledge distillation is a plus.
• Experience with publishing in academic conferences or journals is a plus.

The Signature Research Programme in Health Services Research and Population Health is looking for candidates with either undergraduate or masters training in economics or related disciplines to support our growing portfolio of econometric / statistical analysis and decision analytic modelling projects.

Job Description

This position will report directly to Senior Health Economists in the Health Economic Evaluation Lab and offers an excellent opportunity to develop and refine in demand skills in applied health economics and to be co-author on publications. Successful candidates will assist with high value health economic research endeavours and perform a variety of functions, such as:

• Execute econometric and other statistical analyses.
• Build decision trees, markov and micro-simulation models for use in cost effectiveness analyses.
• Conduct literature reviews.
• Prepare sections of surveys, analysis plans, manuscripts, reports and grant proposals with a goal toward producing high quality research outputs.
• Act as a Teaching Assistant for the Health Economic Evaluation Graduate Certificate Program.
• Perform other related duties assigned by the Principal Investigators in support of these efforts.

Job Requirements

• Bachelor’s Degree / Master’s Degree in Economics, Health Economics or other related disciplines.
• Prior research experience in Cost Effectiveness modelling and Econometrics is highly desirable.
• Have experience in quantitative data and statistical analyses (preferably with health-economic data) with modelling packages such as R or STATA.
• Proficient with Microsoft Office Suite and AI tools.
• Possess strong verbal and written communication skills in English.
• Able to multi-task and work productively in teams.

We regret that only shortlisted candidates will be notified.

Responsibilities:

• Guide teachers in the holistic development of children
• Ensure positive staff morale and a safe and conducive environment that best benefits the children
• Manage and maintain good relationships with parents, partners and govermental agencies
• Familiar with ECDA licensing requirements, health and safety regulations etc.
• Oversee curriculum and raise the standard and performance of the centre
• Prepare administrative documents and support the centre as required by the management

Requirements:

• Diploma in Early Childhood Care and Education with Leadership (DECCE-T and DECCE-L)
• At least 1-2 years of supervisory experience in a childcare setting
• Possess excellent leadership qualities and management skills
• Is a teamplayer with effective communication and personal skills
• 5.5 day work week

A Senior Research Fellow position as an expert in structural biology is available at the School of Biological Sciences, Nanyang Technological University (NTU). The candidate should have technical experience and knowledge in the areas of mycobacterial enzymes, setting up of cryo-EM and cryo-ET experiments, their data analysis and structure determination. The candidate will provide leadership, communication skills and mentoring to students working in the team.

For more details, please view https://www.ntu.edu.sg/sbs.

We are seeking a highly experienced senior scientist with expertise in structural biology, particularly in protein chemistry and cryo-EM. The successful candidate will play a key role in driving research on mycobacterial enzymes and multi-subunit membrane-embedded complexes, contributing both technical expertise and leadership to the team.

Key Responsibilities:

• Lead and conduct research on the 3D structure determination of mycobacterial enzymes and large protein complexes.

• Set up and perform cryo-EM and cryo-ET experiments, including data collection, processing, and structural analysis.

• Provide mentorship to students and junior researchers in the lab.

• Communicate research findings effectively and contribute to collaborative projects.

Job Requirements:

• PhD in structural biology, biochemistry, or a related field with at least of years of relevant experience.

• Extensive technical experience in protein chemistry, protein engineering, and 3D structure determination of large/multi-subunit membrane enzyme complexes.

• Proven expertise in cryo-EM experiment design, execution, and data interpretation.

• Strong communication and leadership skills, with a track record of mentoring students or junior scientists.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret that only shortlisted candidates will be notified.

Job Description:

· Creating a professional and welcoming experience for our customers based on the company’s guidelines.

· Obtain training and perform duties in Service and Kitchen Department.

· Lead by example by demonstrating exemplary professionalism.

· Attending to customers’ needs and complaints promptly and politely.

· Recommend improvements to Management where appropriate.

· Resolve all potential service failure issues.

· Consistently monitor individual performance and progression with your superior and management.

· Provide support as needed in various departments.

· Business Management-Support in managing food and labor costs to increase Restaurant profitability.

· Consistently review operational standards with the aim of always improving speed and service quality.

· Execute any duty that may be assigned from time to time by the Management.

Requirements:

· Applicants must possess at least degree in any field

· Applicants with no experiences is welcomed to apply

· Highly motivated and willing to learn

· Strong positive mentality

· Customer-oriented, excellent interpersonal and communication skills

· Possess good initiative and leadership skills

· On-the-job training provided

· 5.5 days’ work week

· Able to work on weekends and PH

We are representing our client (a Real Estate company) to look for a talented, agile and dynamic Learning & Development Manager to join our team. This is an individual contributor role reporting directly to the Head of HRBP. He/she will play a key role in developing, implementing and overseeing the learning and development (L&D) programs for the organization that equip and enhance the skills and knowledge of employees.

The role involves assessing development needs, creating learning strategies, and evaluating the effectiveness of training programs to ensure alignment with organizational goals. The ideal candidate will be the subject matter expert with deep expertise in the digital learning and development space. They must be highly proactive in keeping pace with emerging trends and disruptive technologies, ensuring employees are equipped with relevant and updated skills to excel in their roles and achieve business objectives.

LEARNING & DEVELOPMENTMANAGER

Responsibilities:

• Develop and Implement L&D Strategies: Create and implement learning strategies and programs that support the developmental needs of employees. Infuse agile methodologies into L&D processes to ensure training initiatives can pivot quickly alongside shifting business priorities.
• Assess Training & Development Needs: Conduct assessment to identify the learning needs of employees within the organization and develop training strategies and initiatives to address these needs for enhanced performance.
• Design Training Programs: Develop learning plan / roadmap, curate and deliver training programs, either directly or through coordination with subject matter experts.  This includes the hands-on development and storyboarding of interactive e-learning content. Programs will cover onboarding, skills development, functional training, and leadership development. Facilitate interventions such as leadership retreats and strategic planning, and coach department heads, supervisors, and individuals responsible for employee development.
• Drive Digital Learning Initiatives: Act as the internal champion for digital transformation in learning. Conceptualize, design, and launch modern digital learning experiences (e-learning, micro-learning, blended learning) that leverage cutting-edge industry trends and emerging technologies.
• Evaluate Training Effectiveness: Review effectiveness of training programs through feedback, assessments, and performance evaluations, and make necessary adjustments for continuous improvement.
• Oversee Learning Management System (LMS): Implement, manage, and optimize the LMS or e-learning platforms to facilitate seamless online, remote, and mobile training opportunities.
• Ensure Regulatory Compliance: Ensure all training programs adhere to industry regulations and other legal requirements specific to real estate industry.
• Engage with Stakeholders: Collaborate with senior management, department heads and HR to align training initiatives with organizational objectives and needs.
• Maintain Vendor Relationships: Manage relationships with external training providers, consultants, and digital content creators to ensure high-quality delivery of training programs.
• Prepare Reports and Documentation: Maintain records of training activities and provide regular reports / updates to management. Oversee and track spending against training budget.

Requirements:

• Bachelor’s degree or equivalent in HR, Education, Business or related field.
• Possess relevant certification in L&D (eg. ACTA, CPTD, coaching etc.) will be an added advantage.
• At least 6 years of relevant work experience as a L&D Manager or in a similar role.
• Proven track record and hands-on experience in e-learning content development and instructional design.
• Strong domain knowledge of the digital L&D landscape and emerging digital learning trends (e.g. AI in learning).
• Demonstrated agility and resilience; comfortable operating as an individual contributor in a fast-paced, fluid environment with changing priorities.
• Excellent written and verbal communication skills.
• A team player with good interpersonal skills, confidence and maturity to effectively interact and engage with all levels of staff.
• Demonstrate strong administrative and organisational skills, with the ability to work independently and manage multiple tasks with attention to details.
• Positive, resilient and a strong passion for work, with the ability to adapt to changing priorities and excel in a dynamic business environment.
• Proficient in MS Office and LMS, with familiarity in using virtual delivery platforms such as Microsoft Teams and Zoom.

We regret that only successful candidates will be notified.

ABOUT PEOPLE ALWAYS by All About People (UEN 53281880J)

EA licence: 21C0714

We are looking for highly motivated and talented researchers to join our interdisciplinary team working on advanced modelling of complex large-scale urban systems, with a particular focus on land use, transport, and the built environment.

This role will involve developing, applying, and refining computational models to better understand urban dynamics, including how land use and transportation interact with the physical, social, and economic environment.

They will work with a collaborative and interdisciplinary team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as urban transportation (either land, air and/or sea) as well as the relationship between the built environment and social outcomes (such as health or behavioural outcomes across different population segments).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on high-impact real-world research problems, in which they will apply various computational tools such as modelling and simulation and AI to derive insights that can inform urban policy and planning.

Requirements

• Ph.D in Physics, Engineering, Data Science, Geography, or related fields

• Proficiency in Python or R with experience in geospatial and/or statistical packages

• Relevant research/project experience in either of these fields:

o Spatial analysis / Geospatial information system (GIS)

o Transportation and urban systems

o Agent-based modelling / network analysis

• Demonstrated experience in applying geospatial and/or statistical analysis or other relevant analytics tools on real urban problems would be highly desirable

• Experience working on large scale real-world datasets as well as knowledge of social dimension in urban planning would also be a plus

• Good written and verbal communication skills

• Ability to work effectively in an interdisciplinary research environment both individually as well as in a team, with a strong interest in collaborative research and policy impact

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Senior-Research-Fellow-%28%C2%B9%E2%81%B7%E2%81%B6Lu%E2%81%BA-Optical-Clock-Laboratory%29/33440-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at https://www.cqt.sg/

Job Description

The Barrett group at CQT is the world's leading laboratory developing ¹⁷⁶Lu⁺  as an optical clock species. Lutetium-176 offers exceptionally low sensitivity to blackbody radiation shifts and a highly favourable systematic
uncertainty budget, making it a compelling candidate for next-generation optical timekeeping. Our programme isactively pushing towards multi-ion clock architectures — including linear ion crystals and multiplexed trap arrays —to surpass the quantum projection noise limits of single-ion operation and achieve unprecedented clock stability atshort averaging times. A key aim of the programme is to translate this technology into a commercialisable turnkeysystem for deployment at Singapore's National Metrology Centre (NMC).

We are seeking an exceptional Senior Scientist to lead experimental research within our ¹⁷⁶Lu⁺ optical clockprogramme at the Centre for Quantum Technologies (CQT), Singapore. This is a senior individual-contributor
position at the cutting edge of precision quantum metrology, with direct impact on international timekeeping,tests of fundamental physics, and Singapore's national measurement infrastructure.The successful candidate will drive original research, take ownership of key experimental subsystems, mentor junior researchers and graduate students, engage with industry and national metrology partners, and contribute to the long-term scientific and translational roadmap of the laboratory.

Key Responsibilities

• Lead the design, development, and operation of ion trap systems for ¹⁷⁶Lu⁺, including the engineering of novel trap geometries suited to multi-ion clock operation..
• Drive the experimental realisation of multi-ion clock configurations: ion crystal preparation, laser cooling, and correlated interrogation schemes for stability beyond the standard quantum limit.
• Develop and maintain ultra-stable laser systems and optical frequency infrastructure, including cavity-stabilised clock lasers and optical frequency combs.
• Contribute to optical frequency comparison and dissemination capabilities, including fibre-link and satellite-based clock comparisons.
• Work closely with local industry and metrology partners to develop a commercialisable turnkey ¹⁷⁶Lu⁺ clock system suitable for implementation at the A*STAR National Metrology Centre (NMC).
• Mentor postdoctoral researchers and PhD students; contribute to grant applications, scientific reporting, and laboratory operations.

Required Qualifications

• PhD in Physics with specialisation in AMO physics, precision metrology, or quantum information science.
• Demonstrated track record of high-impact independent experimental research evidenced by peer-reviewed publications.
• Hands-on expertise in ion trapping: rf Paul traps, trap fabrication or characterisation, micromotion compensation, and laser cooling of atomic ions.
• Proficiency with ultra-stable laser systems: cavity-stabilised lasers, laser locking, optical frequency chains, and electro-optic/acousto-optic control.
• Strong experimental skills in ultra-high vacuum technology, optical design, and precision rf and digital electronics.
• Excellent written and oral communication skills with the ability to present complex results to both specialist and general audiences.

Preferred Experience

Cryogenic ion traps

Experience operating ion traps at 4 K or below, including pulse-tube or dilution refrigerator integrationand cryogenic rf delivery.

Multi-ion architectures

Ion crystal formation and control, mixed-species crystal operation, or multiplexed trap-array design and characterisation.

Optical frequency metrology

Optical frequency comb operation, absolute frequency measurement, or fibre-based optical clock comparison and dissemination.

Experimental automation

Python-based experiment control, FPGA or ARTIQ sequencing, and real-time digital feedback for clock servo loops.

Additional Information

What we offer:

• Competitive, commensurate with experience.
• Dedicated equipment & travel allowance.
• World-class research hub at the NUS campus in Singapore.

To apply, please submit a CV, a research statement describing your relevant expertise and vision for the Lu+ clock programme (max 2 pages), and the names of three referees. Applications are reviewed on a rolling basis — early submission is encouraged. Inquiries should be directed to Prof. Murray Barrett at phybmd@nus.edu.sg

At Curos we strive to grow every aspect of a child. This means we develop not just the cognitive aspects but the character, life skills and STEM exposure too. As a Senior Enrichment Teacher you will be:

• Responsible for the operations of the centre
• Responsible for the planning and preparation of lessons
• Responsible for the execution of lessons
• Responsible for reporting on progress of each child under their care
• Teach and help children with homework, ensuring that all homework is completed by the end of the week
• Build relationships with children and parents
• Complete administrative tasks to support the running of the centre e.g. attendance, reporting etc.
• Assist in maintaining the safety and effectiveness of the learning environment incl. cleanliness and tidiness

Work hours are Monday to Friday, with no night classes – ideal for those who value work-life balance while doing meaningful work.

Location: Thomson Plaza / Parkway Centre / Bukit Timah Plaza

This role is perfect for someone who loves and is great with kids and wants to see them grow in every aspect of their lives. If this sounds like you and you have a strong ownership of your students’ learning, we would love to hear from you!

Responsibilities

• Oversee the daily operations of the front-of-house, ensuring a smooth and efficient service
• Greet guests warmly and escort them to their tables
• Manage reservations and optimize seating arrangements to maximize guest satisfaction and restaurant capacity
• Coordinate with the kitchen and bar staff to ensure timely and accurate service
• Supervise and support front-of-house staff, including hosts/hostesses, waitstaff, and bartenders
• Train and mentor front-of-house staff, fostering a positive and professional work environment
• Address and resolve any guest complaints or concerns promptly and professionally
• Maintain high standards of cleanliness and organization in the dining area
• Monitor inventory levels of front-of-house supplies and coordinate with management for replenishment
• Ensure compliance with health and safety regulations
• Assist with special events and private dining arrangements as needed
• Handles all guest and internal customer complaints and inquiries in a courteous and efficient manner, following through to make sure problems are resolved satisfactorily
• Maintains positive guest and colleague interactions with good working relationships
• Establishes a rapport with guests maintaining good customer relationships
• Personally and frequently verifies that guests are receiving the best possible service

Profile

• You are hospitable, friendly and have a natural courtesy
• You have a neat and tidy appearance and you are punctual
• Eager to learn, flexible and a team player
• You can work independently and act as a collegiate in a team
• Enthousiasticm passionate and ambitious
• An eye for detail and a “hands-on” mentality

Requirements

• Proven experience as a assistant manager in a similar leadership role in the hospitality industry
• Exceptional customer service and interpersonal skills
• Strong leadership and team management abilities
• Excellent organizational and multitasking skills
• Ability to remain calm and composed under pressure
• Proficient in reservation management systems and point-of-sale (POS) software
• Impeccable grooming and professional appearance
• Flexibility to work evenings, weekends, and holidays as needed
• High school diploma or equivalent; hospitality management or related field is a plus